Results 161 to 170 of about 83,237 (330)
Spatio-temporal Causal Learning for Streamflow Forecasting [PDF]
Streamflow plays an essential role in the sustainable planning and management of national water resources. Traditional hydrologic modeling approaches simulate streamflow by establishing connections across multiple physical processes, such as rainfall and runoff.
arxiv
Groundwater Flooding of Superficial Gravels in an Urbanized Catchment
ABSTRACT Groundwater behavior in superficial gravel aquifers is globally poorly understood, especially across urban regions where drinking water is sourced from elsewhere. This study focuses on one such region around Staines, SE UK, where local River Terrace Gravels form a thin (< 10 m) superficial aquifer.
Jonathan D. Paul+3 more
wiley +1 more source
Hydrologic Simulations of the Maquoketa River Watershed Using SWAT Working Paper 09-WP 49,June 2009 [PDF]
This paper describes the application of the Soil and Water Assessment Tool (SWAT) model to the Maquoketa River watershed, located in northeast Iowa. The inputs to the model were obtained from the Environmental Protection Agency’s geographic information/
core
Wildfire‐Induced Enhancement in Downstream Flood Discharge in Watersheds of California
ABSTRACT Global climate change is increasingly associated with the prevalence of extreme precipitation and large wildfires. The influence of large wildfires on downstream flood discharge is concerning, particularly from a flood risk management perspective, where understanding the impact at a watershed scale is still fairly limited.
Wasitha Dilshan+2 more
wiley +1 more source
Streamflow droughts are receiving increased attention worldwide due to their impact on the environment and economy. One region of concern is the Midwestern United States, whose agricultural productivity depends on subsurface pipes known as tile drains to
Seth R Adelsperger+6 more
doaj +1 more source
Nierji Reservoir is the largest and most important water conservancy project in the Nenjiang River Basin. A thorough understanding of variations in streamflow and the driving factors of the Nierji Reservoir Basin (NERB) is crucial, but there are still ...
Chunxu Han+4 more
doaj +1 more source
Self-organizing linear output map (SOLO): An artificial neural network suitable for hydrologic modeling and analysis [PDF]
Artificial neural networks (ANNs) can be useful in the prediction of hydrologic variables, such as streamflow, particularly when the underlying processes have complex nonlinear interrelationships.
Gao, X+4 more
core +1 more source
Erratum for “Synthetic Coefficients for Streamflow Routing” [PDF]
Jose A. Buil
openalex +1 more source
A Parsimonious Setup for Streamflow Forecasting using CNN-LSTM [PDF]
Significant strides have been made in advancing streamflow predictions, notably with the introduction of cutting-edge machine-learning models. Predominantly, Long Short-Term Memories (LSTMs) and Convolution Neural Networks (CNNs) have been widely employed in this domain.
arxiv
ABSTRACT Adapting to future climate change in flood‐prone landscapes will require climate‐resilient agricultural systems. Planting perennial crops, like switchgrass and willow, along river corridors can mitigate future flooding while supporting bioenergy markets.
Ganesh R. Ghimire+7 more
wiley +1 more source